Transformation didn't normalize the data set... now what?

I study and insect that has a tendency to produce non-normal data sets. I have transformed my current data set using sqrt, sqrt + 0.5, log, log10 and arcsin (even thought this prob isn't appropriate) transformations, but when I check the assumptions on the transformed data set it's still non-normal. Is there another transformation method I could use or am I just missing something?

data EmergenceAllt; set EmergenceAll;
TotalperDayt = sqrt(TotalperDay + 0.5);
run;

proc univariate data=EmergenceAllt normal;
var TotalperDayt;
probplot TotalperDayt / normal(mu=est sigma=est color=black w=3);
inset mean median min max skewness kurtosis var probn;
run;